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Industries

Computer vision is unleashing endless new potential for tomorrow's industry.

Discover some Clea use cases.

  • Smart Parking
  • Industry Automation
  • Smart Buildings
  • Traffic Monitoring
Smart Parking
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PCV Park Manager

Clea enables smart parking systems to detect vehicles faster with high accuracy on the edge:

– Andvanced entrance and access control,

– Detects and records vehicles’ violations and incidents,

– Enhanced security system.

Up to

22%

Increased revenue

Up to

29%

Reduction of violations


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License Plate Analysis

Clea enables traffic management systems to gain valuable insights for optimized mobility of people and vehicles in real-time.

– Real time traffic congestion recognition,

– Traffic light adaptation based on traffic flow.

Up to

37%

Traffic reduction

Up to

29%

Reduction of car accidents

Industry Automation
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Production Line Analysis

Real-time production line monitoring system.

The solution detects component installation anomalies during production and provides meaningful insights to the operator.

Up to

42%

Increase in production quality

Up to

32%

Performance optimization

Smart Buildings
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AI People counter and tracking

The system detects, counts people and tracks their behaviour in an environment enabling advanced value-added services for the customer.

Up to

42%

Crime reduction

Up to

34%

Resource optimisation

Traffic Monitoring
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License Plate Recognition

The system is capable of processing multiple high-resolution video streams in real time in order to prevent infringements and monitor the traffic volume.

Up to

56%

higher intervention speed

Up to

23%

Reduction of violations

Clea ready to use edge-AI apps

Discover the optimised Clea apps ready to be deployed

Indoor People Counteer App with SECO ADLER

Face Detection App with SECO ADLER

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Based on: SECO ADLER or UDOO VISION Intel® Atom™ x7-E3950 Quad Core @1.6 GHz (Burst 2.0GHz), 2MB L2 Cache, 12W TDP

Software: Ubuntu 20.04 and OpenVINO 2021.4.689

Models: person-detection-retail-0013, person-reidentification-retail-0288


PERFORMANCES

Running on: GPU

Average FPS: 10

Energy Consumption: 11W

Based on: SECO ADLER or UDOO VISION Intel® Atom™ x7-E3950 Quad Core @1.6 GHz (Burst 2.0GHz), 2MB L2 Cache, 12W TDP

Software: Ubuntu 20.04 and OpenVINO 2021.4.689

face-detection-adas-0001, age-gender-recognition-retail-0013, emotions-recognition-retail-0003


PERFORMANCES

Running on: GPU

Average FPS: 6.9

Energy Consumption: 19W

AI-optimized hardware

NXP i.MX 8M Plus Processors

Trizeps VIII Plus

The i.MX 8M Plus SoC (System on Chip) has various processor units that can handle a wide range of computing operations.

NXP i.MX 8M Plus Processors

LEVY

SMARC® Rel. 2.1.1 module with NXP i.MX 8M Plus Applications Processors

Intel® Atom® x6000E Processors

ICARUS

Pico-ITX SBC with the Intel® Atom® X6000E Series, Intel® Pentium® and Celeron® N and J Series (formerly Elkhart Lake) SoCs

Intel® Atom™ X Series Processors

ADLER

Pico-ITX SBC x86 Solution designed for IoT edge computing in harsh environments

Intel® Atom™ X Series Processors

PEGASUS

Boxed solution with Intel® Atom™ X Series, Intel® Celeron® J / N Series

and Intel® Pentium® N Series (formerly Apollo Lake) Processors

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M.2 AI Acceleration Module

ACRAB

The M.2 Module is an accelerator module for AI applications, based on the 26 tera-operations per second Hailo-8TM processor, compatible with NGFF M.2 form factor.

NXP i.MX 8M Plus Processors

The i.MX 8M Plus SoC (System on Chip) has various processor units that can handle a wide range of computing operations.

NXP i.MX 8M Plus Processors

SMARC® Rel. 2.1.1 module with NXP i.MX 8M Plus Applications Processors

Intel® Atom® x6000E Processors

Pico-ITX SBC with the Intel® Atom® X6000E Series, Intel® Pentium® and Celeron® N and J Series (formerly Elkhart Lake) SoCs

Intel® Atom™ X Series Processors

Pico-ITX SBC x86 Solution designed for IoT edge computing in harsh environments

Intel® Atom™ X Series Processors

Boxed solution with Intel® Atom™ X Series, Intel® Celeron® J / N Series

and Intel® Pentium® N Series (formerly Apollo Lake) Processors

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Supported AI models


Network

Original framework

AI model type

SSD Inception-V2

Tensorflow

Object Detection

Face detection (SSD based)

Caffe

Object Detection

Yolov3

Darknet/ONNX

Object Detection

Yolov4

Darknet/ONNX

Object Detection

Yolov3-tiny

Darknet

Object Detection

OpenPose

PyTorch

Pose Estimation

FCN-Alexnet

Caffe

Segmentation

Intel Segmentation

Caffe

Segmentation

Clea Computer Vision App Store

Data Collection / & Work Orders

Management of progress in production orders and monitoring of resources and alternative operations

Quality Monitoring

Report, Statistics and KPIs

Productivity Analytics

Track the impact of workplace change

Age, Gender and Emotion Recognition

AI facial expression analysis

Visual Inspection of Equipment

Monitor adherence to safety protocols on construction sites or on in a smart factory.

Quality Management

Automated visual inspection and quality control of production processes

Skill Training

Evaluation of human action aimed to training and quality inspection

Contact information

Get in touch with us and know more about Clea for Edge AI Solutions with one of our consultants.